NLP Engineer

Location: Remote – European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role Codertal is seeking an experienced NLP Engineer to join our AI team and develop state‑of‑the‑art language understanding models. You will work on projects involving text classification, semantic search, LLM fine‑tuning, information extraction, and intelligent automation. Your work will empower international clients as they build innovative language‑driven solutions. You’ll collaborate with data scientists, MLOps engineers, and developers to bring cutting‑edge NLP models into production, ensuring scalability, performance, and real‑world impact. Key Responsibilities Build and optimize NLP models using Transformers, BERT, spaCy, and Hugging Face. Develop pipelines for text preprocessing, tokenization, and feature extraction. Implement solutions for NER, sentiment analysis, topic modeling, and summarization. Fine‑tune LLMs for domain‑specific applications. Evaluate and improve model accuracy, responsiveness, and stability. Deploy NLP models using MLOps best practices. Stay updated with the latest advancements in NLP and Generative AI. Required Skills and Experience Proven experience in NLP and language model development. Strong proficiency in Python and frameworks such as Transformers, spaCy, TensorFlow, or PyTorch. Hands‑on experience with LLM fine‑tuning. Good understanding of linguistics, embeddings, and transformer architectures. Experience in deploying NLP models (Docker, Kubernetes, CI/CD). Knowledge of cloud platforms (AWS, GCP, Azure). Bachelor’s or Master’s degree in CS, AI, Data Science, or related fields. Intermediate to advanced level of English. Must be located within the European Union. Location & Work Setup Remote: Yes Location: European Union Contract Type: B2B Why Join Codertal? Work with top‑tier AI experts and innovative clients. Competitive daily rates. 100% remote work with flexible hours. Continuous growth in NLP & Generative AI. Join a supportive and future‑focused engineering community. How to Apply If you’re passionate about NLP and excited to build advanced language‑driven systems, we’d love to hear from you! Apply Now Name Phone Email Rate per day (euros) CV Explore more opportunities on our Careers Page or connect with us on LinkedIn.